MCP Deepresearch

DeepRe is a Deno-based CLI tool that automatically generates in-depth research reports using the Google Gemini API, supporting Japanese and Markdown output.

Research and data Developer tools #AI research #Report generation #Data analysis #Japanese support .TypeScript

rating : 2 points

downloads : 8.8K

update time : 2025-04-29

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What is DeepRe?

DeepRe is a CLI tool developed based on Deno that helps users automatically generate in-depth investigation reports through Google Gemini's AI API. It can conduct multiple iterations of research on a specified topic, collect high-quality information, and generate structured reports.

How to use DeepRe?

Simply install the Deno environment and obtain a Gemini API key, and you can start the automatic research process with simple commands. The tool will automatically evaluate the information quality and generate reports in Markdown format.

Application scenarios

Suitable for scenarios that require in-depth information collection, such as academic research, market analysis, and technology trend surveys. It is particularly suitable for professionals who need to quickly obtain comprehensive information.

Main features

Iterative research

Automatically conduct multiple rounds of information collection and evaluation until the preset quality standard is reached

Automatic evaluation system

Built-in intelligent evaluation mechanism to ensure that the collected information is sufficient and reliable

Gemini API integration

Utilize the latest Gemini 2.0 model for advanced search and analysis

Automatic research plan generation

Automatically design the optimal research path and method according to the topic

Full Japanese support

Fully compatible with Japanese theme settings and report output

Markdown format output

Generate Markdown reports with clear structure and standard format

Advantages

The automated research process saves a lot of time

Multiple iterations ensure information quality

Supports in-depth analysis of complex topics

The output format is standard and can be used directly

Limitations

Depends on the availability and quota of the Gemini API

Requires a Deno runtime environment

May require manual verification for some professional fields

The iterative process may consume more API calls

How to use

Environment preparation

Install the Deno runtime environment and set the Gemini API key

Install DeepRe

Use the Deno task command to install the tool globally

Set the API key

Provide the Gemini API key through environment variables or command-line parameters

Run the research task

Specify the research topic and optional parameters to start the research process

View the results

View the generated Markdown reports in the specified output directory

Usage examples

Academic research preparation

Quickly collect the latest research trends and key papers in an academic field

Market analysis

Analyze the market competition pattern of a specific product or service

Technology research

Evaluate the maturity and application prospects of a new technology

Frequently asked questions

How to obtain the Gemini API key?

How many research iterations are appropriate?

Which languages are supported for research?

How long does it take to generate a report?

How to verify the accuracy of the information?

Related resources

Deno official documentation

Guide for installing and using the Deno runtime

Google AI Studio

Obtain the Gemini API key

DeepRe GitHub repository

Source code and issue tracking

Markdown guide

Markdown syntax reference

🚀 DeepRe - AI-Powered In - Depth Investigation Report Generator

DeepRe is a Deno - based command - line tool that leverages the Google Gemini AI API to automatically create in - depth investigation reports. It conducts multiple rounds of investigations to collect high - quality information and generate comprehensive reports.

🚀 Quick Start

DeepRe simplifies the process of generating in - depth investigation reports. With just a few steps, you can start using this powerful tool.

✨ Features

Iterative Investigation Process: Continuously conduct investigations until sufficient information is gathered.
Automated Evaluation System: Automatically assess the quality of the collected information.
Gemini API Integration: Utilize the latest Gemini 2.0 model for advanced search and analysis.
Automatic Investigation Plan Generation: Develop the best investigation methods based on the topic.
Full Japanese Support: Support Japanese topic settings and output.
Markdown - Formatted Reports: Present the investigation results in formatted Markdown.

📦 Installation

Prerequisites

Deno runtime environment
Google Gemini API key (can be set as the GEMINI_API_KEY environment variable or specified at runtime)

Global Installation

deno task install

💻 Usage Examples

Basic Usage

deepre "Investigation Topic"

Optional Parameters

deepre "Investigation Topic" -k "GEMINI_API_KEY" -o "./output" -m "gemini-2.0-pro" -i 15

-k, --api-key: Gemini API key (can be obtained from the GEMINI_API_KEY environment variable)
-o, --output-dir: Output directory (Default: ./research)
-m, --model: Gemini model to use (Default: gemini-2.0-flash)
-i, --iterations: Number of investigations (Default: 10)

Environment Variable Setup

# macOS/Linux
export GEMINI_API_KEY="Your Gemini API Key"

# Windows (Command Prompt)
set GEMINI_API_KEY=Your Gemini API Key

# Windows (PowerShell)
$env:GEMINI_API_KEY="Your Gemini API Key"

📚 Documentation

Development Guide

# Run in development mode
deno task deepre

# Perform code inspection, type checking, formatting, and testing
deno task check-all

# Perform individual check items
deno task lint
deno task check
deno task fmt
deno task test